Data Science Training by Experts

;

Our Training Process

Data Science - Syllabus, Fees & Duration

MODULE 1

  • The Data Science Process
  • Apply the CRISP-DM process to business applications
  • Wrangle, explore, and analyze a dataset
  • Apply machine learning for prediction
  • Apply statistics for descriptive and inferential understanding
  • Draw conclusions that motivate others to act on your results

MODULE 2

  • Communicating with Stakeholders
  • Implement best practices in sharing your code and written summaries
  • Learn what makes a great data science blog
  • Learn how to create your ideas with the data science community

MODULE 3

  • Software Engineering Practices
  • Write clean, modular, and well-documented code
  • Refactor code for efficiency
  • Create unit tests to test programs
  • Write useful programs in multiple scripts
  • Track actions and results of processes with logging
  • Conduct and receive code reviews

MODULE 4

  • Object Oriented Programming
  • Understand when to use object oriented programming
  • Build and use classes
  • Understand magic methods
  • Write programs that include multiple classes, and follow good code structure
  • Learn how large, modular Python packages, such as pandas and scikit-learn, use object oriented programming
  • Portfolio Exercise: Build your own Python package

MODULE 5

  • Web Development
  • Learn about the components of a web app
  • Build a web application that uses Flask, Plotly, and the Bootstrap framework
  • Portfolio Exercise: Build a data dashboard using a dataset of your choice and deploy it to a web application

MODULE 6

  • ETL Pipelines
  • Understand what ETL pipelines are
  • Access and combine data from CSV, JSON, logs, APIs, and databases
  • Standardize encodings and columns
  • Normalize data and create dummy variables
  • Handle outliers, missing values, and duplicated data
  • Engineer new features by running calculations • Build a SQLite database to store cleaned data

MODULE 7

  • Natural Language Processing
  • Prepare text data for analysis with tokenization, lemmatization, and removing stop words
  • Use scikit-learn to transform and vectorize text data
  • Build features with bag of words and tf-idf
  • Extract features with tools such as named entity recognition and part of speech tagging
  • Build an NLP model to perform sentiment analysis

MODULE 8

  • Machine Learning Pipelines
  • Understand the advantages of using machine learning pipelines to streamline the data preparation and modeling process
  • Chain data transformations and an estimator with scikit learns Pipeline
  • Use feature unions to perform steps in parallel and create more complex workflows
  • Grid search over pipeline to optimize parameters for entire workflow
  • Complete a case study to build a full machine learning pipeline that prepares data and creates a model for a dataset

MODULE 9

  • Experiment Design
  • Understand how to set up an experiment, and the ideas associated with experiments vs. observational studies
  • Defining control and test conditions
  • Choosing control and testing groups

MODULE 10

  • Statistical Concerns of Experimentation
  • Applications of statistics in the real world
  • Establishing key metrics
  • SMART experiments: Specific, Measurable, Actionable, Realistic, Timely

MODULE 11

  • A/B Testing
  • How it works and its limitations
  • Sources of Bias: Novelty and Recency Effects
  • Multiple Comparison Techniques (FDR, Bonferroni, Tukey)
  • Portfolio Exercise: Using a technical screener from Starbucks to analyze the results of an experiment and write up your findings

MODULE 12

  • Introduction to Recommendation Engines
  • Distinguish between common techniques for creating recommendation engines including knowledge based, content based, and collaborative filtering based methods.
  • Implement each of these techniques in python.
  • List business goals associated with recommendation engines, and be able to recognize which of these goals are most easily met with existing recommendation techniques.

MODULE 13

  • Matrix Factorization for Recommendations
  • Understand the pitfalls of traditional methods and pitfalls of measuring the influence of recommendation engines under traditional regression and classification techniques.
  • Create recommendation engines using matrix factorization and FunkSVD
  • Interpret the results of matrix factorization to better understand latent features of customer data
  • Determine common pitfalls of recommendation engines like the cold start problem and difficulties associated with usual tactics for assessing the effectiveness of recommendation engines using usual techniques, and potential solutions.

Download Syllabus - Data Science
This syllabus is not final and can be customized as per needs/updates
 
10000+
20+
50+
25+

Data Science Jobs in San Antonio

Enjoy the demand

Find jobs related to Data Science in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in San Antonio, chennai and europe countries. You can find many jobs for freshers related to the job positions in San Antonio.

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Storyteller
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Database Administrator
  • ML Engineer
  • Computer Vision Engineer

Data Science Internship/Course Details

Data Science internship jobs in San Antonio
Data Science Data Science provides a diverse set of tools for analyzing data from a range of sources, including financial records, multimedia files, marketing forms, sensors, and text files. Cleaning and validating data to ensure that it is accurate and consistent. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. Experts provide immersive online instructor-led seminars. To find trends and patterns, use algorithms and modules. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Effectively analyze both organized and unstructured data Create strategies to address company issues. Create data strategies with the help of team members and leaders. Today's Data Scientists must possess a wide range of abilities, including the ability to work with large amounts of data, parse that data, and translate it into an easily comprehensible format from which business insights may be drawn.

Meet a Few of our Industry Experts 🚀 Your Pathway to IT Career

Aditya

Mobile: +91 9895490866
Location: Punjab, Online (San Antonio)
Qualification: B.Tech Computer science engineering

Experience: Enthusiastic and results-driven Graduate Web Developer with a proven track record in delivering high-quality website functionality and web application solutions  more..

Veena

Mobile: +91 94975 90866
Location: Calicut, Online (San Antonio)
Qualification: B tech

Experience: Seo smm Done 3 months training in seo   more..

Siva

Mobile: +91 98474 90866
Location: Tamil Nadu, Online (San Antonio)
Qualification: B.com and MBA

Experience: Finance Accounts Global Payroll I am interested in this position because I had worked on odoo couple of years back  more..

Piyush

Mobile: +91 91884 77559
Location: Uttar Pradesh, Online (San Antonio)
Qualification: BTech computer science and engineering

Experience: I have experience in problem solving through c++ and web development through mern stack where I have used react js  more..

VIPIN

Mobile: +91 9895490866
Location: Kerala, Online (San Antonio)
Qualification: B Tech

Experience: Experience in networking and system administration field Ccna ccnp mcse course completed  more..

Rutuja

Mobile: +91 8301010866
Location: Maharashtra, Online (San Antonio)
Qualification: BE civil

Experience: 7 month experience in AutoCAD design consultant - HTJA and associates nashik  more..

Sinsy

Mobile: +91 98474 90866
Location: Thrissur, Online (San Antonio)
Qualification: Btech IT

Experience: iOS developer  more..

sureshkumar

Mobile: +91 9895490866
Location: trichy, Online (San Antonio)
Qualification: M.Sc

Experience: html and css php sql javascript laravel macromedio dreamviwer  more..

vimaljoy

Mobile: +91 91884 77559
Location: Kochi, Online (San Antonio)
Qualification: B -Tech - 3rd year

Experience: Machine Learning Computer Vision Deep learning python Unity HTML & CSS  more..

Jinumol

Mobile: +91 89210 61945
Location: Alappuzha, Online (San Antonio)
Qualification: MCA

Experience: Completed software testing internship it includes manual and automation testing   more..

Vinodha

Mobile: +91 98474 90866
Location: chidambaram, Online (San Antonio)
Qualification: M.C.A

Experience: java Seleniunm manual testing and Automation testing  more..

Aswathy

Mobile: +91 98474 90866
Location: Kerala, Online (San Antonio)
Qualification: MTech Electronics and communication engineering

Experience: My specialization is on Robotics and artificial intellegence And i have the skill in python c language and ROS is  more..

Fahid

Mobile: +91 89210 61945
Location: Kochi, Online (San Antonio)
Qualification: Diploma

Experience: Strong analytical skills >Troubleshooting computer problems and solutions > Information security > Burp suite > Mobile Security Framework >Wireshark >  more..

Kumar

Mobile: +91 9895490866
Location: Patna, Online (San Antonio)
Qualification: 10th pass

Experience: I have skills of designing in: Logo design Banner design Poster design Flyer design T shirt design All on canva  more..

Abdul

Mobile: +91 94975 90866
Location: Kadayanalur, Online (San Antonio)
Qualification: Bachelor of computer science engineering

Experience: i have 1 yesr experience in Ui Ux designing role and i have skilled in figma adobe illustrator Adobe photoshop  more..

Navjot

Mobile: +91 91884 77559
Location: Punjab, Online (San Antonio)
Qualification: BTech CSE

Experience: I have 3 years of experience as Angular developer I am ready to start from today onwards Please revert if  more..

Yash

Mobile: +91 91884 77559
Location: Delhi, Online (San Antonio)
Qualification: Btech

Experience: Front end developer Data structures and algorithms backend developer C++ programming  more..

Elavarasan

Mobile: +91 98474 90866
Location: Coimbatore , Online (San Antonio)
Qualification: BE mechanical engineering

Experience: Hi am completed in BE mechanical engineering and Python certificate course complete then I have attended in odoo Internship 3months  more..

Success Stories

The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

Photos of Training / Internships

Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio
Internship/projects in san-antonio

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer